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Record W7002319942


\nBiochemical and structural characterization of tau oligomers and cerebrospinal-fluid-derived tau in murine models of tauopathy
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2020· dissertation· en· W7002319942 on OpenAlexfundno aff

Bibliographic record

Venueedoc (University of Basel) · 2020
Typedissertation
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
FundersMedical Research CouncilMach-Gaensslen Foundation of CanadaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsTau proteinTau pathologyTauopathyFragmentation (computing)PathogenesisGenetically modified mouseProtein aggregationIn vivoBiomarker
DOInot available

Abstract

fetched live from OpenAlex

Tau is a microtubule stabilizing protein that forms aggregates in Alzheimer’s disease (AD). Tau protein abnormal aggregation is one of the main pathological features in AD patients’ brain, particularly in the forms of insoluble tau fibrils. However, in recent years, a more prominent role in pathogenesis and diagnosis of AD has been increasingly given also to soluble tau oligomers and tau fragmentation pathways as well.
\nIt was previously shown that fragmentation is linked to oligomeric stress in murine models of tauopathy, as co-expression of fragmented and full-length tau in tau transgenic mice results in the formation of oligomeric, non-fibrillary tau species and causes severe paralysis. This paralysis is fully reversible once expression of the tau fragment is halted, even though mutant tau expression is maintained. Whereas various strategies to target tau aggregation have been developed, little is known about the long-term consequences of reverted tau toxicity.
\nTau fragments constitute also the majority of the protein reaching the cerebrospinal fluid (CSF) compartment. CSF-derived tau is a key diagnostic biomarker for AD; however, its features are largely unknown. Particularly, it is an unresolved question whether CSF-derived tau possesses a seeding competence. Previous in vivo studies on CSF-derived Aβ proved that this other biomarker does not have a seeding potential; however, in vitro studies on CSF-derived tau pointed towards another direction. Therefore, it was investigated whether CSF collected from patients diagnosed with probable AD or mild cognitive impairment (MCI) likely due to AD harbors a prion-like tau seeding potential.
\nThe present thesis shows that tau species can be neurotoxic in the absence of seeding-competent tau aggregates, and mice can clear these tau forms permanently without tau seeding or spreading effects. These observations suggest that early targeting of non-fibrillar tau species may represent a therapeutically effective intervention in tauopathies. On the other hand, the absent seeding competence of early toxic tau species also warrants caution when using seeding-based tests for preclinical tauopathy diagnostics. 
\nThe results of the thesis provide also first evidence for in vivo prion-like properties of AD patients’ CSF, accelerating tau pathology in susceptible tau transgenic mice. This demonstrates that biologically active tau seeds reach the CSF compartment in AD. Further studies may help to evaluate strain specific properties of CSF-derived tau bioseeds, and to assess their diagnostic potential. 
\nIn conclusion, the results presented in the thesis follow therefore nascent lines of research where oligomers are questioning the importance of established hallmarks in neurodegenerative diseases, and oligomerization might be indeed linked to fragmentation of protein at the center of neurological proteinopathies and be a suitable target for therapeutic strategies; furthermore, these results also call for the importance and specificity of tau biomarkers for AD diagnosis, and this newfound seeding competence of CSF-tau could therefore improve the diagnostic tools at our disposal
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Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.183
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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